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CodeRabbit, an AI code reviewer, is hiring a founding APAC enterprise seller in Sydney. You will own named prospects from first outreach through proof of value and close, then grow those accounts.
You should bring several years of full-cycle quota-carrying experience in technical software and a track record of six-figure Australia deals. You will explain governance and safety considerations to both engineers and business leaders, building trust throughout the deal.
This is a founding enterprise seller role for the APAC region, owning named prospects in Sydney from first outreach through proof of value and close, then growing those accounts. A strong candidate brings several years of full cycle quota carrying in technical software, a record of landing six figure deals in Australia, and comfort selling to engineering leaders. Technical curiosity matters, since the product must be explained credibly to both technical and business buyers.
The product exists because AI writes code faster than people can review it, so the seller is effectively selling oversight for AI generated work. Demos and value conversations center on how teams judge what is safe to ship, which rewards someone who can reason about engineering workflow rather than pitch features. The human parts stay human: building trust with technical buyers, running a multi threaded deal, and quantifying return.
Selling a code review and governance platform gives direct exposure to how AI coding agents are adopted inside engineering organizations and where review bottlenecks appear. A candidate can build this by learning how pull request workflows, codebase context, and security monitoring fit together, and by getting fluent in developer and open source tooling. Familiarity with AI and developer products is listed as a bonus, not a requirement.
This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.
An AI code reviewer that, per the company, comments on every pull request, built for a world where AI coding agents write more code than people can read.